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20242026
most citedA Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications

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cs.AI2026

Teach the Magnitude, Not the Direction: Verifier-Anchored Credit Assignment for Multi-Turn Multi-Step LLM Agents

Zechuan Wang, Siyuan Lu, Hongxuan Zhang +3

Reinforcement learning with verifiable rewards (RLVR) directly optimizes verifier-defined outcomes for multi-turn tool-use agents, yet its trajectory-level credit assignment confla…